Evidence map›Paper›PMID 42243877›Full record

ArticleChinese medicine2026

Unveiling medication patterns in traditional Chinese medicine for the prevention of colorectal cancer recurrence: from potential combinations to validation of components and targets.

Qianqian Bu, Shaoxun Yuan, Xiaoman Wei, Junyi Wang, Liu Li, Pan Chen, Weixing Shen, Dongdong Sun, Lingyu Linda Ye, Yun Yang and 4 more

Abstract read
In one paragraph

Article in Chinese medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Qianqian Bu *The First Clinical Medical College, Nanjing University of Chinese Medicine, Nanjing, 210023, China.
Shaoxun Yuan *School of Artificial Intelligence and Information Technology, Nanjing University of Chinese Medicine, Nanjing, 210023, China.
Xiaoman Wei *The First Clinical Medical College, Nanjing University of Chinese Medicine, Nanjing, 210023, China.
Junyi WangThe First Clinical Medical College, Nanjing University of Chinese Medicine, Nanjing, 210023, China.
Liu LiThe First Clinical Medical College, Nanjing University of Chinese Medicine, Nanjing, 210023, China.
Pan ChenThe First Clinical Medical College, Nanjing University of Chinese Medicine, Nanjing, 210023, China.
Weixing ShenThe First Clinical Medical College, Nanjing University of Chinese Medicine, Nanjing, 210023, China.
Dongdong SunThe First Clinical Medical College, Nanjing University of Chinese Medicine, Nanjing, 210023, China.
Lingyu Linda YeJiangsu Collaborative Innovation Center of Traditional Chinese Medicine in Prevention and Treatment of Tumor, Nanjing, 210023, China.
Yun YangDepartment of Stomatology, Nanjing Drum Tower Hospital, Nanjing, 210008, China.
Luying XuSchool of Integrative Medicine of Nanjing University of Chinese Medicine, Nanjing, 210023, China.
Sicheng LuJiangsu Collaborative Innovation Center of Traditional Chinese Medicine in Prevention and Treatment of Tumor, Nanjing, 210023, China. lusc9257@163.com.ORCID http://orcid.org/0000-0001-8481-7744
Dayue Darrel DuanJiangsu Collaborative Innovation Center of Traditional Chinese Medicine in Prevention and Treatment of Tumor, Nanjing, 210023, China. dduan@swmu.edu.cn.
Haibo ChengThe First Clinical Medical College, Nanjing University of Chinese Medicine, Nanjing, 210023, China. haibocheng@njucm.edu.cn.

Funding

National Key Research and Development Program of China 2022YFC3500200, 2022YFC3500204National Natural Science Foundation of China Youth Program 82505698the Open Project of Jiangsu Province Engineering Research Center of TCM Intelligence Health Service Grant No. ZHZYY202510Youth Program of Jiangsu Provincial Natural Science Foundation BK20240735
6 · The paper itself

Abstract

Colorectal cancer (CRC) is a prevalent malignant tumor with high incidence and mortality rates, with recurrence being the primary cause of death among patients. Traditional Chinese Medicine (TCM) utilizes a holistic cognitive approach to develop herbal treatment strategies, displaying significant efficacy in slowing tumor progression and improving patients' quality of life. However, discrepancies in herbal prescription strategies arise from variations in clinicians' syndrome differentiation and experiential knowledge, leading to a lack of systematic understanding of compound prescription compatibility rules. This study aims to identify TCM prescriptions that are effective in preventing or treating CRC recurrence through evidence-supported and clinically applied prescriptions. By employing Apriori association rule mining and graph convolutional network analysis, a core herb spectrum associated with anti-recurrence prescriptions was identified, emphasizing a high-confidence herbal combination for further mechanistic exploration. Subsequent network pharmacology analysis revealed quercetin and kaempferol as representative active compounds with PTGS2 identified as a potential key target. Molecular docking, molecular dynamics simulation, public database analysis, and in vitro experiments provided initial evidence supporting their interaction and biological effects in CRC cells. Overall, this study reveals the compatibility characteristics of TCM prescriptions for preventing CRC recurrence and offers a scientific foundation for the continued use of TCM-based strategies in managing CRC recurrence.

Indexed as

Colorectal cancerCompatibility rulesNetwork analysisRecurrenceTraditional Chinese medicine

Identifiers

PMID42243877
PMCPMC13235114

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.